COVID-19 inpatients with psychiatric disorders: Real-world clinical recommendations from an expert team in consultation-liaison psychiatry.

BACKGROUND: The management of coronavirus disease 2019 (COVID-19) in patients with comorbid psychiatric disorders poses several challenges, especially regarding drug interactions. METHODS: We report three representative case-scenarios on patients with psychiatric disorders and COVID-19 to provide a practical approach based on the existing literature and the clinical experience of an expert team in consultation-liaison psychiatry. CASE-CENTERED RECOMMENDATIONS: Psychopharmacological ongoing treatments should be prioritized and most doses should be reduced 25-50% of original dose if the patient receives lopinavir/ritonavir, with some exceptions including quetiapine, asenapine, olanzapine, sertraline, lamotrigine, bupropion, and methadone. If the psychopharmacological usual doses are in the low-to-median range levels, a dose change during COVID-19 drugs co-administration is not recommended, but only ECG and clinical monitoring of adverse effects and drug levels if required. Furthermore, when introducing a psychopharmacological drug, dose titration should be progressive, with ECG monitoring if cardiotoxic interactions are present. (A) In agitated delirium, olanzapine is recommended as first-line antipsychotic and quetiapine should be avoided. (B) In severe mental illness (SMI), essential treatments should be maintained. (C) In non-SMI with depressive/anxiety symptoms, psychological support should be provided and symptoms identified and treated. LIMITATIONS: Most recommendations on pharmacological interactions provide only a limited qualitative approach and quantitative recommendations are lacking. CONCLUSIONS: Patients with psychiatric disorders and COVID-19 should be managed on a personalized basis considering several clinical criteria and, should not be excluded from receiving COVID-19 treatments. Risks of pharmacological interaction are not absolute and should be contextualized, and most psychopharmacological treatments should include an ECG with special attention to QTc interval.

Lithium and suicide prevention in mood disorders and in the general population: A systematic review.

Suicide contributes to 1-4 % of deaths worldwide every year. We conducted a systematic review aimed at summarizing evidence on the use of lithium for the prevention of suicide risk both in mood disorders and in the general population. We followed the PRISMA methodology (keywords: "lithium", "suicide" AND "suicidal" on Pubmed, Cochrane CENTRAL, Clinicaltrial.gov, other databases). Inclusion criteria: lithium therapy in mood disorder or found in drinking water or scalp in the general population. Exclusion criteria: no lithium administration. From 918 screened references, 18 prospective (number of participants: 153786), 10 retrospective (number of participants: 61088) and 16 ecological studies (total sample: 2062) were included. Most of the observational studies reported a reduction in suicide in patients with mood disorders. All studies about lithium treatment's duration reported that long-term lithium give more benefits than short-term lithium in suicide risk The evidence seems to attribute an intrinsic anti-suicidal property of lithium, independent of its proven efficacy as a mood stabilizer.

Unravelling potential severe psychiatric repercussions on healthcare professionals during the COVID-19 crisis.

The coronavirus disease 2019 (COVID-19) outbreak is putting healthcare professionals, especially those in the frontline, under extreme pressures, with a high risk of experiencing physical exhaustion, psychological disturbances, stigmatization, insomnia, depression and anxiety. We report the case of a general practitioner, without relevant somatic or psychiatric history that experienced a "brief reactive psychosis (298.8)" under stressful circumstances derived from COVID-19. She presented with delusional ideas of catastrophe regarding the current pandemic situation, delusions of self-reference, surveillance and persecution, with high affective and behavioural involvement. Physical examination and all further additional investigations did not reveal any secondary causes. She was administered olanzapine 10 mg with significant psychopathological improvement being later discharged with indications to maintain the treatment. To our knowledge this is the first reported case of severe mental illness in a healthcare professional without previous psychiatric history due to COVID-19 outbreak. Around 85% of patients presenting a brief psychotic disorder will develop a potentially disabling serious psychotic illness in the long-term. This case represents the potentially serious mental health consequences on healthcare professionals throughout the COVID-19 crisis and emphasizes the need to implement urgent measures to maintain staff mental health during the current pandemic.

The implications of hypersomnia in the context of major depression: Results from a large, international, observational study.

According to the DSM-5, "reduction in the need for sleep" is the only sleep-related criteria for mixed features in depressive episodes. We aimed at studying the prevalence, clinical correlates and the role of hypersomnia in a sample of acutely depressed patients. Secondarily, we factors significantly increasing the odds of hypersomnia were studied. We conducted a post-hoc analysis of the BRIDGE-II-Mix study. Variables were compared between patients with hypersomnia (SLEEP+) and with insomnia (SLEEP-) with standard bivariate tests. A stepwise backward logistic regression model was performed with SLEEP+ as dependent variable. A total of 2514 subjects were dichotomized into SLEEP+ (n = 423, 16.8%) and SLEEP- (n = 2091, 83.2%). SLEEP+ had significant higher rates of obese BMI (p < 0.001), BD diagnosis (p = 0.027), severe BD (p < 0.001), lifetime suicide attempts (p < 0.001), lower age at first depression (p = 0.004) than SLEEP-. Also, SLEEP+ had significantly poorer response to antidepressants (AD) such as (hypo)manic switches, AD resistance, affective lability, or irritability (all 0<0.005). Moreover, SLEEP+ had significantly higher rates of mixed-state specifiers than SLEEP- (all 0 < 0.006). A significant contribution to hypersomnia in our regression model was driven by metabolic-related features, such as "current bulimia" (OR = 4.21) and "overweight/obese BMI (OR = 1.42)". Globally, hypersomnia is associated with poor outcome in acute depression. Hypersomnia is strongly associated with mixed features and bipolarity. Metabolic aspects could influence the expression of hypersomnia, worsening the overall clinical outcome. Along with commonly used screening tools, detection of hypersomnia has potential, costless discriminative validity in the differential diagnosis unipolar and bipolar depression.

A systematic review on sleep alterations anticipating the onset of bipolar disorder.

BACKGROUND: Sleep alterations are frequent occurrence in Bipolar Disorder (BD), both in acute and interepisodic phases. Sleep alterations have been also described both long before BD onset, as aspecific risk syndromes, or as immediate prodromes of BD onset. The aim of the present study is to systematically review the relationship between sleep alterations anticipating for the full-blown onset of BD, both in general and according to specific polarities of onset. METHODS: A systematic literature research according to PRISMA statement and considering: 1. prospective studies about BD patients' offspring with sleep alterations who later developed BD. 2. prospective studies assessing patients with sleep disorders who later developed BD. 3. retrospective studies on BD patients where sleep alterations before BD onset of the disease were reported. RESULTS: A total of 16 studies were included in this review. Sleep disturbances may frequently appear 1 year before the onset of BD or more, often during childhood or adolescence. A decreased need for sleep may precede the onset of the illness, specially a manic episode, while insomnia appears to anticipate either a manic or a depressive episode. Hypersomnia seems to precede bipolar depressive episodes. CONCLUSIONS: Sleep alterations frequently appear long before the onset of BD, and appear to be related specifically to the polarity of the index episode. The detection and treatment of sleep alterations in special high risk populations may help achieving an earlier detection of the illness.

Behavioral addictions in bipolar disorders: A systematic review.

Clinical and epidemiological research suggests that behavioral addictions (BA) are associated with a wide range of psychiatric disorders. However, the relationship between BA and bipolar disorders (BD) has not been thoroughly explored. The aim of this systematic review was to critically summarize and evaluate the current available evidence regarding a possible association between BA and BD. A systematic review of major electronic databases according to PRISMA guidelines was conducted from inception to 31st December 2017. We sought quantitative studies data concerning prevalence of comorbidity, features and treatment related to BA-BD comorbidity. Data were narratively synthesized. Of the 1250 studies returned from the search, a total of 28 articles were included in this review. BA may be overrepresented in BD samples, and the other way around. Pathological gambling and kleptomania were the most prevalent conditions followed by compulsive buying, compulsive sexual behavior and internet addiction. BA was also associated with other mood disorders, anxiety disorders and substance use disorder. BD-BA comorbidity was related with more severe course of illness. Studies on treatment strategies for BD-BA comorbidity are rather limited; only one randomized controlled trial that fulfilled inclusion criteria was identified. Methodological heterogeneity in terms of design and results among studies was found. BD-BA commonly co-occurs although there is a need for rigorous studies. Routine screening and adequate assessment may be helpful in BD patients to identify individuals at risk for BA and to effectively manage the complex consequences associated with BA-BD comorbidity.

Mixed states in bipolar and major depressive disorders: systematic review and quality appraisal of guidelines.

OBJECTIVE: This systematic review provided a critical synthesis and a comprehensive overview of guidelines on the treatment of mixed states. METHOD: The MEDLINE/PubMed and EMBASE databases were systematically searched from inception to March 21st, 2018. International guidelines covering the treatment of mixed episodes, manic/hypomanic, or depressive episodes with mixed features were considered for inclusion. A methodological quality assessment was conducted with the Appraisal of Guidelines for Research and Evaluation-AGREE II. RESULTS: The final selection yielded six articles. Despite their heterogeneity, all guidelines agreed in interrupting an antidepressant monotherapy or adding mood-stabilizing medications. Olanzapine seemed to have the best evidence for acute mixed hypo/manic/depressive states and maintenance treatment. Aripiprazole and paliperidone were possible alternatives for acute hypo/manic mixed states. Lurasidone and ziprasidone were useful in acute mixed depression. Valproate was recommended for the prevention of new mixed episodes while lithium and quetiapine in preventing affective episodes of all polarities. Clozapine and electroconvulsive therapy were effective in refractory mixed episodes. The AGREE II overall assessment rate ranged between 42% and 92%, indicating different quality level of included guidelines. CONCLUSION: The unmet needs for the mixed symptoms treatment were associated with diagnostic issues and limitations of previous research, particularly for maintenance treatment.

A study on the bioequivalence of lithium and valproate salivary and blood levels in the treatment of bipolar disorder.

Lithium (Li) and valproate (VPA) are used in the treatment of bipolar disorder (BD), with narrow therapeutic window requiring periodic control of serum levels. This prevents intoxication, lack of efficacy due to low serum concentrations, and allows monitoring adherence. We aimed at evaluating the bioequivalence of salivary and blood levels of LI or VPA in a sample of adult BD patients. Secondarily, lithium bioequivalence was evaluated across different patients' lifespans. BD patients treated with either Li or VPA underwent contemporary standard serum and salivary measurements. Blood levels of both drugs were taken according to standard procedures. Li salivary levels were performed by an adapted potentiometric method on the AVL9180 electrolyte analyzer. VPA salivary levels were taken with an immune-assay method with turbidimetric inhibition. A total of 50 patients (38 on Li, 12 on VPA) were enrolled. Blood-saliva bioequivalence for VPA was not found due to a high variability in salivary measures. Li measures resulted in a high correlation (r=0.767, p<0.001), showing no partial correlation with age (r=0.147, p=0.380). Li salivary test is a reliable method of measuring Li availability and is equivalent to serum levels. Potential advantages of Li salivary testing are its non-invasive nature and the possibility of doing the test during the usual appointment with the psychiatrist.

Aggressiveness in depression: a neglected symptom possibly associated with bipolarity and mixed features.

OBJECTIVE: To evaluate aggressiveness during a major depressive episode (MDE) and its relationship with bipolar disorder (BD) in a post hoc analysis of the BRIDGE-II-MIX study. METHOD: A total of 2811 individuals were enrolled in this multicenter cross-sectional study. MDE patients with (MDE-A, n = 399) and without aggressiveness (MDE-N, n = 2412) were compared through chi-square test or Student's t-test. A stepwise backward logistic regression model was performed. RESULTS: MDE-A group was more frequently associated with BD (P < 0.001), while aggressiveness was negatively correlated with unipolar depression (P < 0.001). At the logistic regression, aggressiveness was associated with the age at first depressive episode (P < 0.001); the severity of mania (P = 0.03); the diagnosis of BD (P = 0.001); comorbid borderline personality disorder (BPD) (P < 0.001) but not substance abuse (P = 0.63); no current psychiatric treatment (P < 0.001); psychotic symptoms (P = 0.007); the marked social/occupational impairment (P = 0.002). The variable most significantly associated with aggressiveness was the presence of DSM-5 mixed features (P < 0.001, OR = 3.815). After the exclusion of BPD, the variable of lifetime suicide attempts became significant (P = 0.013, OR = 1.405). CONCLUSION: Aggressiveness seems to be significantly associated with bipolar spectrum disorders, independently from BPD and substance abuse. Aggressiveness should be considered as a diagnostic criterion for the mixed features specifier and a target of tailored treatment strategy.

The aggressor at the mirror: Psychiatric correlates of deliberate self-harm in male prison inmates.

BACKGROUND: Deliberate self-harm (DSH) causes important concern in prison inmates as it worsens morbidity and increases the risk for suicide. The aim of the present study is to investigate the prevalence and correlates of DSH in a large sample of male prisoners. METHODS: A cross-sectional study evaluated male prisoners aged 18+ years. Current and lifetime psychiatric diagnoses were assessed with the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders - DSM-IV Axis I and Axis II Disorders and with the Addiction Severity Index-Expanded Version. DSH was assessed with The Deliberate Self-Harm Inventory. Multivariable logistic regression models were used to identify independent correlates of lifetime DSH. RESULTS: Ninety-three of 526 inmates (17.7%) reported at least 1 lifetime DSH behavior, and 58/93 (62.4%) of those reported a DSH act while in prison. After multivariable adjustment (sensitivity 41.9%, specificity 96.1%, area under the curve=0.854, 95% confidence interval CI=0.811-0.897, P<0.001), DSH was significantly associated with lifetime psychotic disorders (adjusted Odds Ratio aOR=6.227, 95% CI=2.183-17.762, P=0.001), borderline personality disorder (aOR=6.004, 95% CI=3.305-10.907, P<0.001), affective disorders (aOR=2.856, 95% CI=1.350-6.039, P=0.006) and misuse of multiple substances (aOR=2.024, 95% CI=1.111-3.687, P=0.021). CONCLUSIONS: Borderline personality disorder and misuse of multiple substances are established risk factors of DSH, but psychotic and affective disorders were also associated with DSH in male prison inmates. This points to possible DSH-related clinical sub-groups, that bear specific treatment needs.

Neuropsychological and neuroimaging underpinnings of schizoaffective disorder: a systematic review.

OBJECTIVES: The neurobiological basis and nosological status of schizoaffective disorder remains elusive and controversial. This study provides a systematic review of neurocognitive and neuroimaging findings in the disorder. METHODS: A comprehensive literature search was conducted via PubMed, ScienceDirect, Scopus and Web of Knowledge (from 1949 to 31st March 2015) using the keyword 'schizoaffective disorder' and any of the following terms: 'neuropsychology', 'cognition', 'structural neuroimaging', 'functional neuroimaging', 'multimodal', 'DTI' and 'VBM'. Only studies that explicitly examined a well defined sample, or subsample, of patients with schizoaffective disorder were included. RESULTS: Twenty-two of 43 neuropsychological and 19 of 51 neuroimaging articles fulfilled inclusion criteria. We found a general trend towards schizophrenia and schizoaffective disorder being related to worse cognitive performance than bipolar disorder. Grey matter volume loss in schizoaffective disorder is also more comparable to schizophrenia than to bipolar disorder which seems consistent across further neuroimaging techniques. CONCLUSIONS: Neurocognitive and neuroimaging abnormalities in schizoaffective disorder resemble more schizophrenia than bipolar disorder. This is suggestive for schizoaffective disorder being a subtype of schizophrenia or being part of the continuum spectrum model of psychosis, with schizoaffective disorder being more skewed towards schizophrenia than bipolar disorder.

Course of residual symptoms according to the duration of euthymia in remitted bipolar patients.

OBJECTIVE: Although many studies showed the negative impact of residual symptoms on the course of bipolar disorder (BD), there is a need to examine potential differences in residual symptoms according to the duration of euthymia in remitted BD patients. METHOD: This was a large cross-sectional study of 525 euthymic BD out-patients. A multivariate analysis of covariance was conducted to compare depressive and manic residual symptoms, sleep disturbances and cognitive complaints among three patient groups on the basis of duration of euthymia (A. 6 months to <1 year; B. 1 year to <3 years; C. 3 years to ≤5 years). RESULTS: A significant difference between the three groups was found in residual symptoms [Pillai's Trace: F(8942) = 4.659, P < 0.001]. Tukey post hoc analysis indicated that patients from Group C presented lower residual depressive symptoms, higher sleep quality and better perceived cognitive performance compared with Group A. Group B also presented better sleep and cognitive outcomes than Group A. In addition, Group C showed the lowest incidence of functional impairment. CONCLUSION: This study suggests that the intensity of residual symptoms and functional impairment in remitted BD patients is negatively related to the duration of euthymia.

Comparison of psychotic bipolar disorder, schizoaffective disorder, and schizophrenia: an international, multisite study.

OBJECTIVE: Nosological distinctions among schizoaffective disorder (SA), bipolar I disorder with psychotic features (BDp), and schizophrenia (SZ) remain unresolved. METHOD: We compared 2269 subjects with psychotic features in DSM-IV-TR diagnoses (1435 BDp, 463 SZ, 371 SA) from 8 collaborating international sites, by 12 sociodemographic and clinical measures, all between diagnostic pairs. RESULTS: In bivariate comparisons, SA was consistently intermediate between BDp and SZ for 11/12 features (except onset stressors), and SZ vs. BDp differed in all 12 factors. SA differed from both BDp and SZ in 9/12 factors: SA and BDp were similar in education and suicidal ideation or acts; SA and SZ were similar in education, onset stressors, and substance abuse. Meta-analytic comparisons of diagnostic pairs for 10 categorical factors indicated similar differences of SA from both SZ and BDp. Multivariate modeling indicated significantly independent differences between BDp and SZ (8 factors), SA vs. SZ (5), and BDp vs. SA (3). Measurement variance was similar for all diagnoses. CONCLUSION: SA was consistently intermediate between BDp and SZ. The three diagnostic groups ranked: BDp > SA > SZ related to lesser morbidity or disability. The findings are not consistent with a dyadic Kraepelinian categorization, although the considerable overlap among the three DSM-IV diagnostic groups indicates uncertain boundaries if they represent distinct disorders.

The role of comorbidities in duration of untreated illness for bipolar spectrum disorders.

BACKGROUND: Growing interest has been given to the construct of Duration of untreated illness (DUI) on the outcome of bipolar disorder (BD), due to its potentially modifiable nature. The aim of this study was to identify possible clinical correlates of DUI in a sample of BD patients. METHOD: 119 BD spectrum patients included. DUI rate was calculated and dichotomized into short DUI and long DUI subgroups, cut-off 24 months. These subgroups were compared for socio-demographic and clinical variables. Significant results were included into direct logistic regressions to assess their impact on the likelihood of presenting with long DUI. RESULTS: Mean DUI±SD was 75.6±98.3 months. Short DUI subgroup comprised 56 (47.1%), long DUI 60 (52.9%) patients. Age at onset of BD was lower in the long DUI subgroup (p=0.021), illness duration longer (p=0.011). Long DUI subgroup showed significantly more comorbidity with Axis I (p=0.002) and personality disorders (p=0.017), less interepisodic recovery (p<0.001) and less Manic Predominant Polarity (p=0.009). Direct logistic regression as a full model was significant, correctly classifying 76.7% of cases. A unique statistically significant contribution was made by: Manic Predominant Polarity, Personality Disorder Comorbidity, and Total Changes in Medications. LIMITATIONS: Partial retrospective data, cross sectional study. CONCLUSIONS: DUI was longer than 24 months in half of the sample. Psychotic /Manic onset contributed to a quick diagnostic classification. Personality disorders in depressed patients could delay a correct diagnosis of BD, factors associated with an increased likelihood of BD must be considered. More research on personality disorder comorbidities is needed.

Bipolar disorder and antibodies against the N-methyl-d-aspartate receptor: A gate to the involvement of autoimmunity in the pathophysiology of bipolar illness.

The high prevalence of comorbidity between bipolar disorder (BD) and other medical conditions, including autoimmune diseases, supports the hypothesis of the nature of BD as a biological illness category. Hence, an immune dysregulation process may play an important role in the development of at least certain subtypes of BD. Increasing evidence also suggests that the N-methyl-d-aspartate receptor (NMDAR) may be relevant in the pathophysiology of BD. A possible key mechanism underlying the physiopathology of certain autoimmune diseases that may present with affective symptoms might be the production of anti-NMDAR auto-antibodies (auto-Abs). The best characterized autoimmune anti-NMDAR disease is the anti-NMDAR encephalitis. It has been found that 4% of these patients present isolated, mostly affective, psychiatric manifestations during their illness. An interesting suggestion emerged from this overview is that the same mechanisms that trigger affective symptoms in patients with increased anti-NMDAR auto-Abs levels could be involved in the physiopathology of at least a subgroup of BD. Future studies are needed to characterize the relationship between anti-NMDAR auto-Abs and BD.

Bipolar disorder in the elderly: a cohort study comparing older and younger patients.

OBJECTIVE: The purpose of this study was to analyze differences in clinical and socio-demographic characteristics between older and younger bipolar outpatients paying special attention to depressive symptoms in a large, naturalistic cohort. METHOD: Five hundred and ninety-three DSM-IV-TR bipolar outpatients were enrolled. Clinical characteristics were assessed according to DSM-IV-TR (SCID-I). Subjects were categorized into two groups according to current age (older OBD: age > 65 years; younger-YBD: age < 65 years). RESULTS: About 80% of patients were younger (N = 470), and a fifth were older (N = 123), with a mean age of 77.30 years in OBD. Older patients were more likely to be married, not qualified, bipolar II, with depressive polarity of first episode, higher age at illness onset, higher age at first hospitalization. They were more likely to present with depressive predominant polarity, with lifetime history of catatonic, psychotic and melancholic features, age at illness onset >40 years, as well as suffering from more medical comorbidities when compared to younger bipolars. CONCLUSION: The clinical presentation of bipolar disorder in late life would be defined more frequently by melancholic depressive features and a predominantly depressive polarity. These results suggest that treatment strategies for elderly bipolar patients should focus in the prevention of depressive episodes.

Treatment adherence in bipolar I and schizoaffective disorder, bipolar type.

BACKGROUND: Poor adherence rates in Bipolar Disorder type I (BDI) and Schizoaffective Disorder, bipolar type (SAD) may be high This study was aimed at comparing the clinical correlates of adherence to treatment and the course of illness in BDI and SAD patients. METHODS: 75 SAD and 150 BDI DSM-IV outpatients were included. Adherence was assessed on the basis of patients' and care-givers' reports and serum levels, when available. Socio-demographic, clinical and treatment variables were collected and compared between diagnostic subsamples and then between goodly and poorly adherent patients. Multiple logistic regressions were performed, controlling for diagnostic subsample differences, to identify correlates of adherence in BDI and SAD groups. RESULTS: Poor adherence was highly prevalent both in BDI (32%) and in SAD patients (44%), with no significant differences between diagnostic categories. Presence of psychotic symptoms (p=0.029), higher number of manic relapses (p<0.001), comorbidity with personality disorders (p=0.002), and lithium therapy (p=0.003) were associated with poor adherence to treatment. Diagnostic subgroup analyses showed different predictive models, with the BDI poorly adherent subsample being more likely to include comorbid personality and manic recurrences and the SAD poorly adherent subsample being less clinically predictable. LIMITATIONS: The cross-sectional nature of the study limits de capacity to ascertain the direction of the relationship between certain variables. CONCLUSIONS: Rates of poor adherence to oral treatments are similar in SAD and BDI. BDI patients with comorbid personality and substance use disorders are likely to be poorly adherent. Treatment adherence may be more difficult to predict in SAD patients.

Mood instability and functional recovery in bipolar disorders.

OBJECTIVE: The aim of this study was to identify psychopathological factors associated with long-term functional outcome in euthymic bipolar disorder patients and to test new measures of mood instability and symptoms intensity. METHOD: Fifty-five patients with more than 12 months of follow-up were included. In addition to traditional clinical variables, the time spent ill was documented using a modified life-charting technique based on NIHM life-charting method. New measures, Mood Instability Factor, and Mood Intensity Factor were defined and assessed. Functioning Assessment Short Test (FAST) was used to assess disability. RESULTS: The follow-up period was 3.00 ± 1.51 years. Weeks with subsyndromal depressive symptoms (ß = 0.133, t = 2.556, P = 0.014), weeks with mild manic symptoms (ß = 1.441, t = 3.10, P = 0.003), and the Mood Instability Factor (ß = 0.105, t = 3.593, P = 0.001) contributed to approximately 46% of the FAST total score variance. CONCLUSION: New methodologies including subsyndromal symptoms and mood instability parameters might contribute to understand the worse long-term functional outcome that affects a considerable percentage of BD patients even after episode remission. Concerns about therapeutic approaches are discussed.

Rates and clinical correlates of treatment non-adherence in schizoaffective bipolar patients.

OBJECTIVE: To analyze demographical, clinical, and therapeutic variables that may be associated with pharmacological non-adherence in a sample of schizoaffective patients, bipolar type. METHOD: Adherence to treatment and its clinical correlates were assessed at the end of a 10-year follow-up in 76 patients meeting DSM-IV-TR diagnosis of schizoaffective disorder, bipolar type. Adherent and poorly adherent patients were compared regarding clinical and therapeutic variables. RESULTS: The rate of poorly adherent patients was 32/76 (41.2%) of the sample. Adherent patients were more likely to have presented an affective episode at illness onset and to have fewer purely - non-affective - psychotic episodes. Demographic or other clinical variables were not found to be associated to treatment adherence. Family history for psychiatric disorders or suicide did not correlate either, and neither did any specific pharmacological agent. CONCLUSION: Rates of non-adherence in schizoaffective disorder are high. Adherence seems to be associated to a more affective course of illness (affective first episode and fewer purely psychotic episodes). Patients with more prominent schizophrenia-like characteristics could be at higher risk for poor adherence and need to be closely followed and monitored. Even when properly treated, schizoaffective disorder is a disabling and severe disorder with high risk for recurrences.

What we know and what we don't know about the treatment of schizoaffective disorder.

Schizoaffective disorder (SAD) is a chronic, severe and disabling illness consisting on the concurrent presentation of symptoms of schizophrenia and affective disorders (depression and/or mania). Evidence for the treatment of SAD mostly derives from studies based on mixed samples (i.e. schizophrenic and schizoaffective patients) or on extrapolations from studies on schizophrenia or bipolar disorder. The objective of the present review is to systematically consider and summarize the best evidence-based approaches to the treatment of SAD and extensively point out the gap between treatment research and clinical practice of this disorder. The complex problem of controlling the pleomorphic presentation of SAD's syndromic construct is reflected in the lack of evidence on key topics, including: diagnostic consistency, pharmacological approaches (mood stabilizers, antidepressants, both in acute and maintenance treatment as well as their possible combination), and the adjunctive role of psychosocial and biophysical interventions. Finally, treatment strategies for SAD, both unipolar and bipolar type, are proposed.